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8 results on '"Juhani M. Knuuti"'

2. DIAGNOSTIC PERFORMANCE OF QUANTITATIVE CARDIAC MAGNETIC RESONANCE IMAGING IN PATIENTS WITH PRIOR CORONARY ARTERY DISEASE

Author

Roel Hoek, Sonia Borodzicz-Jazdzyk, Pepijn Van Diemen, Yvemarie Somsen, Ruben Willem De Winter, Ruurt Jukema, Pieter Raijmakers, Juhani M. Knuuti, Teemu Maaniitty, Stephen Richard Underwood, Eike C. Nagel, Lourens Robbers, Ahmet Demirkiran, Bob von Bartheld, Roel Driessen, Ibrahim Danad, Marc Gotte, and Paul Knaapen

Subjects
Cardiology and Cardiovascular Medicine
Published
2023

5. Myocardial perfusion quantification with Rb-82 PET: good interobserver agreement of Carimas software on global, regional, and segmental levels

Author

Sergey V. Nesterov, Emmanuel Deshayes, Luis Eduardo Juarez-Orozco, Robert A. deKemp, Roberto Sciagrà, Simona Malaspina, Leonardo Settimo, Chunlei Han, Darja V. Ryzhkova, Irina S. Kostina, Kilem L. Gwet, John O. Prior, and Juhani M. Knuuti

Subjects
Observer Variation, Perfusion, Coronary Artery Disease/diagnostic imaging, Coronary Circulation/physiology, Humans, Myocardial Perfusion Imaging, Positron-Emission Tomography, Reproducibility of Results, Rubidium Radioisotopes, Software, Absolute quantification, Agreement, Carimas, Imaging software, Myocardial blood flow, Myocardial perfusion quantification, PET standardization, Quantitative imaging, Reproducibility, Rubidium-82, Standards in nuclear cardiology, Coronary Circulation, Radiology, Nuclear Medicine and imaging, General Medicine, Coronary Artery Disease
Abstract

Purpose To estimate the interobserver agreement of the Carimas software package (SP) on global, regional, and segmental levels for the most widely used myocardial perfusion PET tracer—Rb-82. Materials and methods Rest and stress Rb-82 PET scans of 48 patients with suspected or known coronary artery disease (CAD) were analyzed in four centers using the Carimas SP. We considered values to agree if they simultaneously had an intraclass correlation coefficient (ICC) > 0.75 and a difference Results The median values on the segmental level were 1.08 mL/min/g for rest myocardial blood flow (MBF), 2.24 mL/min/g for stress MBF, and 2.17 for myocardial flow reserve (MFR). For the rest MBF and MFR, all the values at all the levels fulfilled were in excellent agreement. For stress MBF, at the global and regional levels, all the 24 comparisons showed excellent agreement. Only 1 out of 102 segmental comparisons (seg. 14) was over the adequate agreement limit—23.5% of the median value (ICC = 0.95). Conclusion Interobserver agreement for Rb-82 PET myocardial perfusion quantification analyzed with Carimas is good at any LV segmentation level—global, regional, and segmental. It is good for all the estimates—rest MBF, stress MBF, and MFR.

Published
2021

6. THE DIAGNOSTIC PERFORMANCE OF QFR AND MYOCARDIAL PERFUSION IMAGING IN PATIENTS WITH PRIOR CORONARY ARTERY DISEASE

Author

Pepijn Van Diemen, Ruben Willem De Winter, Stefan Schumacher, Henk Everaars, Michiel Bom, Ruurt Jukema, Yvemarie Somsen, Pieter Raijmakers, Rolf A. Kooistra, Janny Timmer, Teemu Maaniitty, Lourens FHJ Robbers, Bob von Bartheld, Ahmet Demirkiran, Albert van Rossum, Johan H.C. Reiber, Juhani M. Knuuti, Stephen Richard Underwood, Eike C. Nagel, Paul Knaapen, Roel Driessen, and Ibrahim Danad

Subjects
Cardiology and Cardiovascular Medicine
Published
2022

7. FEASIBILITY OF EVALUATING ENDOTHELIAL WALL SHEAR STRESS FROM CORONARY COMPUTED TOMOGRAPHY ANGIOGRAPHY IN PATIENTS WITH CORONARY ARTERY DISEASE

Author

Inge J. van den Hoogen, Jussi Schultz, Jurrien Kuneman, Michiel Alexander De Graaf, Vasileios Kamperidis, Alexander Broersen, J. Wouter Jukema, Antonis Sakellarios, Sotirios Nikopoulos, Savvas Kyriakidis, Katerina K. Naka, Lampros K. Michalis, Dimitrios I. Fotiadis, Teemu Maaniitty, Antti Saraste, Jeroen J. Bax, and Juhani M. Knuuti

Subjects
Cardiology and Cardiovascular Medicine
Published
2022

8. Quantification of myocardial blood flow in absolute terms using (82)Rb PET imaging: the RUBY-10 Study

Author

Sergey V, Nesterov, Emmanuel, Deshayes, Roberto, Sciagrà, Leonardo, Settimo, Jerome M, Declerck, Xiao-Bo, Pan, Keiichiro, Yoshinaga, Chietsugu, Katoh, Piotr J, Slomka, Guido, Germano, Chunlei, Han, Ville, Aalto, Adam M, Alessio, Edward P, Ficaro, Benjamin C, Lee, Stephan G, Nekolla, Kilem L, Gwet, Robert A, deKemp, Ran, Klein, John, Dickson, James A, Case, Timothy, Bateman, John O, Prior, Juhani M, Knuuti, Nowak, Cécile, University of Turku, Turku University Hospital (TYKS), Institut de recherche en cancérologie de Montpellier (IRCM - U896 Inserm - UM1), Université Montpellier 1 (UM1)-CRLCC Val d'Aurelle - Paul Lamarque-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Lausanne University Hospital, Università degli Studi di Firenze = University of Florence (UniFI), Siemens Molecular Imaging [Oxford], Siemens AG [Munich], Hokkaido University [Sapporo, Japan], Cedars-Sinai Medical Center, University of Washington [Seattle], University of Michigan [Ann Arbor], University of Michigan System, INVIA Medical Imaging Solutions, Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Advanced Analytics LLC, University of Ottawa Heart Institute, University of Ottawa [Ottawa], University College of London [London] (UCL), Cardiovascular Imaging Technologies, CRLCC Val d'Aurelle - Paul Lamarque-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 1 (UM1), Lausanne University Hospital [Switzerland], and Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI)

Subjects
Adult, Male, Radiopharmaceuticals/*diagnostic use/pharmacokinetics, [SDV.CAN]Life Sciences [q-bio]/Cancer, Coronary Artery Disease, Cardiovascular, Computer-Assisted, Japan, [SDV.CAN] Life Sciences [q-bio]/Cancer, Predictive Value of Tests, Models, Image Interpretation, Computer-Assisted, 80 and over, Myocardial Perfusion Imaging/*methods, Humans, Coronary Artery Disease/physiopathology/*radionuclide imaging, Image Interpretation, Aged, Aged, 80 and over, Observer Variation, Ontario, Rubidium Radioisotopes/*diagnostic use/pharmacokinetics, Models, Cardiovascular, Myocardial Perfusion Imaging, Hemodynamics, CAD, PET, imaging software, reproducibility, rubidium-82, Reproducibility of Results, Middle Aged, United States, Europe, Positron-Emission Tomography, Female, Radiopharmaceuticals, Rubidium Radioisotopes, Software
Abstract

International audience; OBJECTIVES: The purpose of this study was to compare myocardial blood flow (MBF) and myocardial flow reserve (MFR) estimates from rubidium-82 positron emission tomography ((82)Rb PET) data using 10 software packages (SPs) based on 8 tracer kinetic models. BACKGROUND: It is unknown how MBF and MFR values from existing SPs agree for (82)Rb PET. METHODS: Rest and stress (82)Rb PET scans of 48 patients with suspected or known coronary artery disease were analyzed in 10 centers. Each center used 1 of 10 SPs to analyze global and regional MBF using the different kinetic models implemented. Values were considered to agree if they simultaneously had an intraclass correlation coefficient \textgreater0.75 and a difference \textless20% of the median across all programs. RESULTS: The most common model evaluated was the Ottawa Heart Institute 1-tissue compartment model (OHI-1-TCM). MBF values from 7 of 8 SPs implementing this model agreed best. Values from 2 other models (alternative 1-TCM and Axially distributed) also agreed well, with occasional differences. The MBF results from other models (e.g., 2-TCM and retention) were less in agreement with values from OHI-1-TCM. CONCLUSIONS: SPs using the most common kinetic model-OHI-1-TCM-provided consistent results in measuring global and regional MBF values, suggesting that they may be used interchangeably to process data acquired with a common imaging protocol.

Published
2014

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